• Incorporating semantics within...

Treffer: Incorporating semantics within a connectionist model and a vector processing model

Title:
Incorporating semantics within a connectionist model and a vector processing model
Authors:
BOYD, R, DRISCOLL, J, SYU, I
Source:
TREC-2: Text retrieval conferenceNIST special publication. (500215):291-302
Publisher Information:
Gaithersburg, MD: National Institute of Standards and Technology, 1994.
Publication Year:
1994
Physical Description:
print, 19 ref
Original Material:
INIST-CNRS
Subject Terms:
Science technology, industry, Sciences et technologies, industries, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Systèmes de recherche d'information, Information retrieval systems, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Informatique documentaire, Documentation data processing, Información documental, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Sémantique, Semantics, Semántica, Analyse sémantique, Semantic analysis, Análisis semántico, Dispositif expérimental, Experimental device, Dispositivo experimental, Grande dimension, Large dimension, Gran dimensión, Incorporation, Incorporación, Indexation automatique, Automatic indexing, Indización automática, Inférence, Inference, Inferencia, Lexique, Lexicon, Léxico, Recherche documentaire, Document retrieval, Recuperación documental, Recherche développement, Research and development, Investigación desarrollo, Réseau, Network, Red, Système recherche, Search system, Sistema investigación, Texte, Text, Texto, Thesaurus, Tesaurus, Modèle connectioniste, Connectionist model, Modèle donnée sémantique, Semantic data model, Modèle espace vectoriel, Vector space model, Roget's International Thesaurus, Réseau inférence, Inference network, TREC-2
Subject Geographic:
Amérique du Nord, North America, America del norte, Amérique, America, Etats Unis, United States, Estados Unidos
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Univ. central Florida, dep. computer sci., Orlando FL 32816, United States
ISSN:
1048-776X
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=3464826
Rights:
Copyright 1995 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.3464826
Database:
PASCAL Archive

Weitere Informationen

Semantic information obtained from the public domain 1911 version of Roget's thesaurus is combined with keywords to measure similarity between natural language topics and documents. Two approaches are explored. In one appraoch, a combination of keyword and semantic relevance is achieved by using the vector processing model for calculating similarity, but extanding the use of keyword weight by using individual weights for each of its meanings. This approach is based on the database concept of semantic modeling and the linguistic concept of thematic role. Iy is applicable to both routing and archival retreival. The second approach is especailly suited for routing. It is based on an AI connncectionist model. In this approach, a probabilistic inference network is modified using semantic information to achieve a competitive activation mechanism taht can be used for calculating similarity.